Danish vs Bangladeshi Community Comparison

COMPARE

Danish
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Danes

Bangladeshis

Excellent
Fair
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 137,239,160 people shows a weak positive correlation between the proportion of Bangladeshis within Danish communities in the United States with a correlation coefficient (R) of 0.258. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.026% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 26.1 Bangladeshis.
Danish Integration in Bangladeshi Communities

Danish vs Bangladeshi Income

When considering income, the most significant differences between Danish and Bangladeshi communities in the United States are seen in wage/income gap (31.0% compared to 22.2%, a difference of 39.7%), per capita income ($44,095 compared to $35,897, a difference of 22.8%), and householder income ages 45 - 64 years ($105,619 compared to $86,402, a difference of 22.2%). Conversely, both communities are more comparable in terms of median female earnings ($37,730 compared to $35,960, a difference of 4.9%), householder income under 25 years ($53,041 compared to $47,589, a difference of 11.5%), and median earnings ($46,392 compared to $41,263, a difference of 12.4%).
Danish vs Bangladeshi Income
Income MetricDanishBangladeshi
Per Capita Income
Good
$44,095
Tragic
$35,897
Median Family Income
Excellent
$105,900
Tragic
$88,358
Median Household Income
Excellent
$87,676
Tragic
$74,112
Median Earnings
Average
$46,392
Tragic
$41,263
Median Male Earnings
Excellent
$56,246
Tragic
$46,744
Median Female Earnings
Tragic
$37,730
Tragic
$35,960
Householder Age | Under 25 years
Excellent
$53,041
Tragic
$47,589
Householder Age | 25 - 44 years
Excellent
$97,221
Tragic
$81,363
Householder Age | 45 - 64 years
Exceptional
$105,619
Tragic
$86,402
Householder Age | Over 65 years
Exceptional
$63,117
Tragic
$54,719
Wage/Income Gap
Tragic
31.0%
Exceptional
22.2%

Danish vs Bangladeshi Poverty

When considering poverty, the most significant differences between Danish and Bangladeshi communities in the United States are seen in receiving food stamps (9.0% compared to 15.0%, a difference of 66.5%), family poverty (7.3% compared to 10.9%, a difference of 49.2%), and child poverty under the age of 16 (13.4% compared to 19.9%, a difference of 48.5%). Conversely, both communities are more comparable in terms of single father poverty (15.8% compared to 15.2%, a difference of 3.9%), single male poverty (12.8% compared to 13.3%, a difference of 4.4%), and single mother poverty (28.5% compared to 31.7%, a difference of 11.3%).
Danish vs Bangladeshi Poverty
Poverty MetricDanishBangladeshi
Poverty
Exceptional
10.7%
Tragic
14.8%
Families
Exceptional
7.3%
Tragic
10.9%
Males
Exceptional
9.7%
Tragic
13.6%
Females
Exceptional
11.7%
Tragic
16.0%
Females 18 to 24 years
Good
19.8%
Tragic
22.5%
Females 25 to 34 years
Exceptional
12.8%
Tragic
15.9%
Children Under 5 years
Exceptional
14.9%
Tragic
20.6%
Children Under 16 years
Exceptional
13.4%
Tragic
19.9%
Boys Under 16 years
Exceptional
13.6%
Tragic
20.0%
Girls Under 16 years
Exceptional
13.7%
Tragic
20.0%
Single Males
Average
12.8%
Tragic
13.3%
Single Females
Good
20.7%
Tragic
24.2%
Single Fathers
Exceptional
15.8%
Exceptional
15.2%
Single Mothers
Excellent
28.5%
Tragic
31.7%
Married Couples
Exceptional
4.1%
Tragic
6.0%
Seniors Over 65 years
Exceptional
8.8%
Fair
11.2%
Seniors Over 75 years
Exceptional
10.2%
Good
12.0%
Receiving Food Stamps
Exceptional
9.0%
Tragic
15.0%

Danish vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Danish and Bangladeshi communities in the United States are seen in male unemployment (4.5% compared to 5.7%, a difference of 26.1%), unemployment (4.3% compared to 5.4%, a difference of 24.7%), and female unemployment (4.4% compared to 5.2%, a difference of 18.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.7% compared to 9.6%, a difference of 0.79%), unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 2.7%), and unemployment among ages 60 to 64 years (4.4% compared to 4.6%, a difference of 4.9%).
Danish vs Bangladeshi Unemployment
Unemployment MetricDanishBangladeshi
Unemployment
Exceptional
4.3%
Poor
5.4%
Males
Exceptional
4.5%
Tragic
5.7%
Females
Exceptional
4.4%
Good
5.2%
Youth < 25
Exceptional
10.3%
Average
11.6%
Age | 16 to 19 years
Exceptional
15.2%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.3%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.0%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.0%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.1%
Fair
4.8%
Age | 45 to 54 years
Exceptional
3.9%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.3%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.4%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Good
5.3%
Seniors > 65
Exceptional
4.9%
Fair
5.2%
Seniors > 75
Tragic
9.7%
Tragic
9.6%
Women w/ Children < 6
Exceptional
7.1%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.5%
Good
5.3%

Danish vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Danish and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 42.5%, a difference of 5.3%), in labor force | age 45-54 (83.3% compared to 81.3%, a difference of 2.4%), and in labor force | age 20-24 (79.0% compared to 78.1%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 84.3%, a difference of 0.11%), in labor force | age 35-44 (84.3% compared to 84.1%, a difference of 0.22%), and in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.33%).
Danish vs Bangladeshi Labor Participation
Labor Participation MetricDanishBangladeshi
In Labor Force | Age > 16
Good
65.3%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
79.9%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
44.7%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
79.0%
Exceptional
78.1%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
84.3%
In Labor Force | Age 35-44
Fair
84.3%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
81.3%

Danish vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Danish and Bangladeshi communities in the United States are seen in single mother households (5.5% compared to 8.1%, a difference of 47.2%), single father households (2.3% compared to 3.1%, a difference of 31.2%), and births to unmarried women (28.7% compared to 34.4%, a difference of 19.9%). Conversely, both communities are more comparable in terms of family households (66.0% compared to 64.3%, a difference of 2.8%), divorced or separated (11.9% compared to 12.3%, a difference of 3.4%), and family households with children (28.7% compared to 30.1%, a difference of 4.7%).
Danish vs Bangladeshi Family Structure
Family Structure MetricDanishBangladeshi
Family Households
Exceptional
66.0%
Average
64.3%
Family Households with Children
Exceptional
28.7%
Exceptional
30.1%
Married-couple Households
Exceptional
51.1%
Tragic
43.5%
Average Family Size
Tragic
3.17
Exceptional
3.37
Single Father Households
Average
2.3%
Tragic
3.1%
Single Mother Households
Exceptional
5.5%
Tragic
8.1%
Currently Married
Exceptional
50.5%
Tragic
43.7%
Divorced or Separated
Excellent
11.9%
Poor
12.3%
Births to Unmarried Women
Exceptional
28.7%
Tragic
34.4%

Danish vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Danish and Bangladeshi communities in the United States are seen in no vehicles in household (6.6% compared to 8.7%, a difference of 31.5%), 4 or more vehicles in household (8.6% compared to 7.6%, a difference of 13.5%), and 3 or more vehicles in household (24.7% compared to 21.9%, a difference of 13.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 91.4%, a difference of 2.4%), 2 or more vehicles in household (63.3% compared to 58.4%, a difference of 8.3%), and 3 or more vehicles in household (24.7% compared to 21.9%, a difference of 13.1%).
Danish vs Bangladeshi Vehicle Availability
Vehicle Availability MetricDanishBangladeshi
No Vehicles Available
Exceptional
6.6%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
93.5%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
63.3%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
24.7%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
8.6%
Exceptional
7.6%

Danish vs Bangladeshi Education Level

When considering education level, the most significant differences between Danish and Bangladeshi communities in the United States are seen in no schooling completed (1.5% compared to 3.5%, a difference of 141.9%), doctorate degree (1.9% compared to 1.2%, a difference of 57.1%), and professional degree (4.4% compared to 3.1%, a difference of 41.3%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 96.6%, a difference of 2.1%), kindergarten (98.6% compared to 96.6%, a difference of 2.1%), and 1st grade (98.6% compared to 96.5%, a difference of 2.1%).
Danish vs Bangladeshi Education Level
Education Level MetricDanishBangladeshi
No Schooling Completed
Exceptional
1.5%
Tragic
3.5%
Nursery School
Exceptional
98.6%
Tragic
96.6%
Kindergarten
Exceptional
98.6%
Tragic
96.6%
1st Grade
Exceptional
98.6%
Tragic
96.5%
2nd Grade
Exceptional
98.5%
Tragic
96.5%
3rd Grade
Exceptional
98.5%
Tragic
96.3%
4th Grade
Exceptional
98.3%
Tragic
96.1%
5th Grade
Exceptional
98.2%
Tragic
95.9%
6th Grade
Exceptional
98.0%
Tragic
95.7%
7th Grade
Exceptional
97.4%
Tragic
94.5%
8th Grade
Exceptional
97.2%
Tragic
94.3%
9th Grade
Exceptional
96.5%
Tragic
93.4%
10th Grade
Exceptional
95.7%
Tragic
92.2%
11th Grade
Exceptional
94.7%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
93.5%
Tragic
89.3%
High School Diploma
Exceptional
91.8%
Tragic
86.9%
GED/Equivalency
Exceptional
88.4%
Tragic
83.1%
College, Under 1 year
Exceptional
68.5%
Tragic
61.4%
College, 1 year or more
Exceptional
61.7%
Tragic
54.5%
Associate's Degree
Good
47.4%
Tragic
40.0%
Bachelor's Degree
Average
38.1%
Tragic
30.2%
Master's Degree
Fair
14.5%
Tragic
10.5%
Professional Degree
Average
4.4%
Tragic
3.1%
Doctorate Degree
Good
1.9%
Tragic
1.2%

Danish vs Bangladeshi Disability

When considering disability, the most significant differences between Danish and Bangladeshi communities in the United States are seen in self-care disability (2.3% compared to 2.8%, a difference of 24.8%), disability age 35 to 64 (11.4% compared to 13.6%, a difference of 19.6%), and disability age 65 to 74 (22.8% compared to 26.8%, a difference of 17.9%). Conversely, both communities are more comparable in terms of male disability (11.9% compared to 12.0%, a difference of 0.78%), disability age 18 to 34 (7.5% compared to 7.4%, a difference of 1.8%), and disability age 5 to 17 (5.7% compared to 5.8%, a difference of 2.4%).
Danish vs Bangladeshi Disability
Disability MetricDanishBangladeshi
Disability
Tragic
12.0%
Tragic
12.6%
Males
Tragic
11.9%
Tragic
12.0%
Females
Good
12.1%
Tragic
13.1%
Age | Under 5 years
Tragic
1.5%
Poor
1.3%
Age | 5 to 17 years
Fair
5.7%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.5%
Tragic
7.4%
Age | 35 to 64 years
Fair
11.4%
Tragic
13.6%
Age | 65 to 74 years
Excellent
22.8%
Tragic
26.8%
Age | Over 75 years
Exceptional
46.2%
Tragic
49.4%
Vision
Exceptional
2.1%
Tragic
2.3%
Hearing
Tragic
3.6%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Tragic
18.6%
Ambulatory
Exceptional
5.8%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.8%